Pendo and Amplitude are excellent at what they were built for: deep analytics on a flagship customer-facing product. Point them at a portfolio of 40 internal apps and three assumptions break at once — the pricing model, the tracking model, and the deployment model.
Per-MAU and per-event pricing were designed for one product whose growth justifies its analytics bill. An internal portfolio inverts the math: you have many products, all your employees, and no revenue line to attribute the spend to. Instrument the whole estate at per-user rates and the quote reads like a mid-six-figure line item — so teams instrument the two apps that can justify it and fly blind on the other 38. The tool designed to give visibility ends up rationing it. (We've written more on this: MAU pricing is a tax on adoption.)
What to look for instead: pricing that is flat per portfolio, so instrumenting the 39th app costs the same as the 2nd — nothing.
Customer analytics wants identity: cohorts, journeys, LTV. Employee analytics with identity is a different animal — legally (GDPR, works councils, KVKK), culturally (nobody wants "productivity surveillance"), and practically (you need "is this app used and liked," not "what did Ayşe click on Tuesday"). Deploying a customer-analytics stack on internal users routinely stalls for months in privacy review, and deserves to.
What to look for instead: anonymous by design — random local IDs, no fingerprinting, aggregate-only cohort views with a k-anonymity floor, and data-collection behavior your DPO can read on one page. It's the difference between a two-week and a two-quarter approval. (More: analytics the works council will approve.)
A flagship product justifies an instrumentation sprint: taxonomy workshops, tracking plans, a data engineer. Multiply that by 40 internal apps owned by 40 stretched teams and the rollout dies of coordination. Internal-tools analytics only works if installation is nearly free.
What to look for instead: a one-line script tag per product with pageviews, SPA route changes, and in-product feedback out of the box — and feature-level tracking that's declarative (one HTML attribute) rather than a tracking-plan project. Bonus points if a coding agent can do the install itself and verify data is arriving.
| You need | Best fit |
|---|---|
| Deep funnel/journey analytics on one flagship customer product, with identity | Amplitude / Pendo — genuinely the right tools |
| In-app guides and walkthroughs (digital adoption) | Pendo, WalkMe — Morvero deliberately doesn't do this |
| Session replay & heatmaps | Clarity, FullStory (see Morvero vs Clarity) |
| Usage + sentiment across a portfolio of internal apps and AI pilots, anonymous, flat-priced, feedback flowing to Jira/ADO | Morvero |
This isn't "Pendo bad." It's altitude. Pendo and Amplitude go deep on one product; portfolio intelligence goes wide across all of them and answers a different question — which of these deserve funding, fixing, or retiring? Plenty of enterprises run both, at different layers. The full teardown is at Morvero vs Pendo.
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